Zhenhua Dong, Hong Zhu, Pengxiang Cheng and

Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen

Keywords Abstract Paper

Counterfactual learning, Recommender systems, Causality

Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack

Keywords Abstract Paper

stochastic shared embeddings, recommender system, neural networks, temporal collaborative ranking, sequential recommendation, personalized transformer

Yu Liu, Xiaoxiao Xu, Jincheng Wang and

Yong Li, Changping Peng, Yongjun Bao, Weipeng P.Yan

Keywords Abstract Paper

Multi-arm bandits, Learning to rank

Jiaxi Tang, Hongyi Wen, Ke Wang

Keywords Abstract Paper

Recommender System, Security and Privacy, Adversarial Machine Learning

Lakshmi Ramachandran

Keywords Abstract Paper

recommendations, popularity, video streaming

Denis Kotkov, Qian Zhao, Kati Launis, Mats Neovius

Keywords Abstract Paper

critiquing recommender systems, recommender systems, user control, information exploration tool, conversational recommender systems, related item recommendations, user interfaces, interactive recommendation

Théo Moins, Daniel Aloise, Simon J. Blanchard

Keywords Abstract Paper

machine learning, locational choice, recommender system, choice models

Gourab K Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly

Keywords Abstract Paper

Local Recommendation, Yelp, COVID-19, Safety, Social Distancing, Google Local, Sustainability, Bipartite Matching

Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis

Keywords Abstract Paper

Temporal Split, Leave-one-out, Model Evaluation, Recommender Systems, Spliting Strategy

Francisco J. Peña, Diarmuid O’Reilly-Morgan, Elias Z. Tragos and

Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor

Keywords Abstract Paper

Yong Li, Zihao Zhao, Zhiwei Fang and

Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan

Keywords Abstract Paper

Targeted Advertising, Tag-wise Targeting, Smart Targeting

Yoshifumi Seki, Takanori Maehara

Keywords Abstract Paper

recommender systems, datasets

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

Keywords Abstract Paper

Calibration, Algorithmic bias, Recommender systems, Popularity bias amplification

Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti and

Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin

Keywords Abstract Paper

user goals, context-aware recommendation, application logs, topic modeling, command recommendation

Ehtsham Elahi, Ashok Chandrashekar

Keywords Abstract Paper

collaborative filtering, embeddings, hierarchical slates, recommender systems, user models

Tobias Schnabel, Paul N. Bennett

Keywords Abstract Paper

neural networks, datasets, gaze detection, text tagging

Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl

Keywords Abstract Paper

music recommender systems, neural networks, personality, bias, dataset

Hyun Jeong Kim, So Yeon Park, Minju Park, Kyogu Lee

Keywords Abstract Paper

music recommendation channels, user evaluation, interpersonal relationships

Mete Sertkan, Julia Neidhardt, Hannes Werthner

Keywords Abstract Paper

preference elicitation, tourist, picture-based, tourism, travel-behaviour

Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei

Keywords Abstract Paper

unobserved confounding, causal inference, recommender systems

Mesut Kaya, Derek Bridge, Nava Tintarev

Keywords Abstract Paper

fairness, group recommendations

Fábio Colaço, Márcia Barros, Francisco M. Couto

Keywords Abstract Paper

extensibility, reproducibility, evaluation, implementation, deep learning

Martin Mladenov, Chih-wei Hsu, Vihan Jain and

Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier

Keywords Abstract Paper

Probabilistic Programming, Reinforcement Learning, Latent Variable Models

Caojin Zhang, Yicun Liu, Yuanpu Xie and

Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi

Keywords Abstract Paper

neural networks, recommendation system, model size reduction

Joeran Beel

Keywords Abstract Paper

Resources, Recommender Systems, Portal, Platform

Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo and

Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano

Keywords Abstract Paper

contextual bandits, hierarchical recommender systems, options framework, reinforcement learning

Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou and

Xiquan Cui, Edo Liberty, Khalifeh Al Jadda

Keywords Abstract Paper

session-based recommendations, comparison of offline evaluation metrics with labels from human experts, evaluation using human experts, A/B test

Ashlee Milton, Levesson Batista, Garrett Allen and

Siqi Gao, Yiu-Kai D Ng, Maria Soledad Pera

Keywords Abstract Paper

metadata, books, preferences, recommender systems, children

Casper Hansen, Christian Hansen, Lucas Maystre and

Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas

Keywords Abstract Paper

Sequence, Music Recommendation, User Embeddings, Context

R. Ramanathan, Nicolas K. Shinada, Sucheendra K. Palaniappan

Keywords Abstract Paper

online dating, neural networks, reciprocal recommender systems

Gustavo Penha, Claudia Hauff

Keywords Abstract Paper

conversational recommendation, conversational search, probing

Ben Tan, Bo Liu, Vincent Zheng, Qiang Yang

Keywords Abstract Paper

Recommender Systems, Federated Learning

Zachary A. Schendel, Faraz Farzin, Siddhi Sundar

Keywords Abstract Paper

iMDS, Similarity, Perception, Netflix, Inverse Multidimensional Scaling, Context

Hanze Li, Scott Sanner, Kai Luo, Ga Wu

Keywords Abstract Paper

Critiquing, Conversational Recommendation

Panagiotis Symeonidis, Andrea Janes, Dmitry Chaltsev and

Philip Giuliani, Daniel Morandini, Andreas Unterhuber, Ludovik Coba, Markus Zanker

Keywords Abstract Paper

session-based recommendation, offline and online evaluation

Xu HE, Bo An, Yanghua Li and

Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang

Keywords Abstract Paper

Reinforcement learning

Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov and

Ivan Oseledets, Alexander Tuzhilin

Keywords Abstract Paper

Hyperbolic Geometry, Collaborative Filtering, Autoencoders, Top-N Recommendation

James Neve, Ryan McConville

Keywords Abstract Paper

Siamese Networks, Social Recommendation, Content-Based Recommendation, Reciprocal Recommender Systems

Xu HE, Bo An, Yanghua Li and

Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang

Keywords Abstract Paper

Combinatorial bandit, Position bias, Contextual bandit

Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches

Keywords Abstract Paper

Auction Systems, Collaborative Filtering, Attribute-Aware Recommender Systems, Multi-Relational Learning, Unique Item Recommendation